:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Kim, Wooyoung, Park, Byungyoon, Kim, Wooju
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	https://arxiv.org/abs/2501.17549
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Marvelous Agglutinative Language Effect on Cross Lingual Transfer Learning
por: Kim, Wooyoung, et al.
Publicado: (2022)

DNACHUNKER: Learnable Tokenization for DNA Language Models
por: Kim, Taewon, et al.
Publicado: (2026)

StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models
por: Kwon, Minchan, et al.
Publicado: (2024)

Susceptibility of Large Language Models to User-Driven Factors in Medical Queries
por: Lim, Kyung Ho, et al.
Publicado: (2025)

Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning
por: Kim, Jeonghoon, et al.
Publicado: (2024)

PromptDistill: Query-based Selective Token Retention in Intermediate Layers for Efficient Large Language Model Inference
por: Jin, Weisheng, et al.
Publicado: (2025)

OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models
por: Lee, Changhun, et al.
Publicado: (2023)

Can Tool-augmented Large Language Models be Aware of Incomplete Conditions?
por: Yang, Seungbin, et al.
Publicado: (2024)

Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
por: Xia, Yu, et al.
Publicado: (2024)

1 Trillion Token (1TT) Platform: A Novel Framework for Efficient Data Sharing and Compensation in Large Language Models
por: Park, Chanjun, et al.
Publicado: (2024)

Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive Learning
por: Ko, Youmin, et al.
Publicado: (2024)

Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
por: Liu, Haochen, et al.
Publicado: (2025)

Query-Conditioned Test-Time Self-Training for Large Language Models
por: Song, Chaehee, et al.
Publicado: (2026)

DETAIL Matters: Measuring the Impact of Prompt Specificity on Reasoning in Large Language Models
por: Kim, Olivia
Publicado: (2025)

Bayesian Principles Improve Prompt Learning In Vision-Language Models
por: Kim, Mingyu, et al.
Publicado: (2025)

EconCausal: A Context-Aware Economic Reasoning Benchmark for Large Language Models
por: Lee, Donggyu, et al.
Publicado: (2025)

Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models
por: Park, Jinyoung, et al.
Publicado: (2023)

Assessing the Answerability of Queries in Retrieval-Augmented Code Generation
por: Kim, Geonmin, et al.
Publicado: (2024)

Evalverse: Unified and Accessible Library for Large Language Model Evaluation
por: Kim, Jihoo, et al.
Publicado: (2024)

EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria
por: Kim, Tae Soo, et al.
Publicado: (2023)

Causal Reasoning in Large Language Models: A Knowledge Graph Approach
por: Kim, Yejin, et al.
Publicado: (2024)

Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models
por: In, Yeonjun, et al.
Publicado: (2025)

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study
por: Yang, Dongil, et al.
Publicado: (2025)

Enhancing Multilingual RAG Systems with Debiased Language Preference-Guided Query Fusion
por: Park, Jeonghyun, et al.
Publicado: (2026)

Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models
por: Kim, Jongho, et al.
Publicado: (2025)

Personality Editing for Language Models through Adjusting Self-Referential Queries
por: Hwang, Seojin, et al.
Publicado: (2025)

From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction
por: Zhu, Mingcheng, et al.
Publicado: (2026)

KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
por: Wang, Fan, et al.
Publicado: (2024)

Adaptive Task Vectors for Large Language Models
por: Kang, Joonseong, et al.
Publicado: (2025)

Contrastive Language Prompting to Ease False Positives in Medical Anomaly Detection
por: Park, YeongHyeon, et al.
Publicado: (2024)

IAPT: Instruction-Aware Prompt Tuning for Large Language Models
por: Zhu, Wei, et al.
Publicado: (2024)

Towards Evaluating Large Language Models for Graph Query Generation
por: Munir, Siraj, et al.
Publicado: (2024)

Training Text-to-Molecule Models with Context-Aware Tokenization
por: Kim, Seojin, et al.
Publicado: (2025)

SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models
por: Maurya, Kaushal Kumar, et al.
Publicado: (2024)

FrugalPrompt: Reducing Contextual Overhead in Large Language Models via Token Attribution
por: Raiyan, Syed Rifat, et al.
Publicado: (2025)

Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models
por: Park, Hyunbyung, et al.
Publicado: (2024)

L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
por: Jeon, Hyesung, et al.
Publicado: (2024)

SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models
por: Kim, Hyeonwoo, et al.
Publicado: (2024)

Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models
por: Lee, Younghun, et al.
Publicado: (2024)

Prompt-based Depth Pruning of Large Language Models
por: Wee, Juyun, et al.
Publicado: (2025)